Top Data & Analytics Jobs

Provides first-line BI support for tickets, emails, and incidents across business divisions. Designs, builds, and supports Power BI reports; triages stakeholder issues; manages SLAs; performs minor enhancements and bug fixes; communicates support performance; collaborates with IT teams; and identifies automation and process-improvement opportunities.

Leads analytics, reporting, data modeling, automation, AI-agent development, and quality assurance for revenue cycle operations. Creates Power BI and Excel reports, analyzes complex healthcare and operational datasets, develops scalable warehouse models, and delivers actionable insights to leadership. Uses SQL, cloud data platforms, Git, Python, and AI-assisted tools to improve reporting efficiency, accuracy, and decision support.

Designs, develops, and maintains IBM Planning Analytics and TM1 models, cubes, applications, rules, feeders, and TurboIntegrator processes for financial planning, forecasting, reporting, and actuarial modeling. Builds data ingestion, transformation, quality, masking, and curation processes; supports SQL development, security, performance monitoring, and critical data pipelines. Partners with finance and actuarial stakeholders, provides operational support, develops scalable tested code, and mentors team members.

Develop and maintain reports, dashboards, KPIs, and executive insights using SQL, Power BI, and other BI tools. Reconcile operational and financial data, investigate anomalies, ensure reporting quality, and document data models, metadata, governance, and reporting inventories. The role also performs advanced data manipulation, visualization, data storytelling, and analytical recommendations. Fraud and disputes domain knowledge is preferred.

Leads marketing reporting and analytics by building performance dashboards, analyzing campaign effectiveness, monitoring data quality, defining KPIs, and delivering actionable insights. Partners with consumer marketing, finance, strategy, data engineering, and Martech teams on forecasting, budget diagnostics, optimization, and enterprise initiatives. Presents analyses and business recommendations to executive stakeholders while enabling marketing teams to use self-service insights tools.

Designs and scales enterprise Power BI reporting, dashboards, semantic models, and analytical data products. Develops DAX measures, star-schema models, KPIs, data governance, row-level security, and performance optimizations. Partners with business, data engineering, and operational teams to translate requirements into actionable insights. Uses Python, SQL, Azure, and Microsoft Fabric to support data validation, self-service analytics, executive reporting, and enterprise analytics architecture.

Analyze manufacturing and engineering data to identify trends, risks, inefficiencies, and cost-saving opportunities. Build datasets, dashboards, and reports using SQL, Python, Excel, and Power BI or Tableau. Support CAPEX financial analysis, ROI and payback modeling, operational KPI tracking, data validation, continuous improvement, and process optimization. Collaborate with engineering, operations, maintenance, finance, and leadership teams in an onsite manufacturing environment.

Lead the enterprise data and analytics strategy, roadmap, architecture, and delivery. Oversee data platforms, pipelines, models, dashboards, reporting, ERP integrations, governance, security, and data quality. Lead a small analytics team while remaining hands-on with Microsoft Fabric, Power BI, Azure, SQL, and Epicor systems. Partner with executives and business leaders to improve decision-making, build self-service analytics and data literacy, automate reporting, and apply advanced analytics and AI responsibly.

The Azure Senior FinOps Engineer optimizes cloud spending, manages Azure services, tracks financial performance, and supports application teams with data-driven insights.

Owns creation and maintenance of SKU and material master data in SAP ERP, including BOM and routing updates. Performs data audits, validation, reporting, and database support while assisting Supply Chain, Operations, Sales, R&D, and Finance. The role also maintains data procedures, supports process improvements, and ensures data accuracy, security, and confidentiality.